Video Direct Link | Abstract

Abstract ABS-239

Hand and Foot Movement of Motor Imagery Classification using Wavelet Packet Decomposition and Multilayer Perceptron Backpropagation Prasetyo Cahyo Nugroho (a), Rahmat Widadi (b), Dodi Zulherman (c*) Corresponding Author: Dodi Zulherman

Question from Ms. Anita Sindar 2020.11.18 13:16:31 I am interested in the issues discussed. Initial data processing using feature extraction. Hand and Foot Movement Classification Image using Backpropagation Perceptron Multilayer. So what is the role of wavelets with hand and foot movement of motor images in forming data sets.

Reply from Mr. Dodi Zulherman 2020.11.18 14:27:06 Dear Ms. Anita Sindar Thank you for the question, The wavelet packet decomposition in this research was used as the feature extraction stage. We decompose the EEG signal using WPD to get the feature values for each signal. I hope this can answer your question. Thank you

Powered By Konfrenzi Ultimate 1.832L-Build7 © 2007-2026 All Rights Reserved